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Laguerre polynomials

Laguerre polynomials is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Laguerre polynomials rather than just read about it. In short: In mathematics, the Laguerre polynomials, named after Edmond Laguerre (1834–1886), are nontrivial solutions of Laguerre's differential equation: x y ″ + ( 1 − x ) y ′ + n y = 0 , y = L ( x ) {\displaystyle xy''+(1-x)y'+ny=0,\ y=L(x)} which is a second-order linear differential equation. This equation has nonsingular solutions only if n is a non-negative integer.

Laguerre polynomials — main illustration
Laguerre polynomials — illustration

Key takeaways

  • Laguerre polynomials belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Laguerre polynomials to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Laguerre polynomials from memory before moving on to harder problems.

Reference excerpt

In mathematics, the Laguerre polynomials, named after Edmond Laguerre (1834–1886), are nontrivial solutions of Laguerre's differential equation:

x y ″ + ( 1 − x ) y ′ + n y = 0 , y = L ( x ) {\displaystyle xy''+(1-x)y'+ny=0,\ y=L(x)}

which is a second-order linear differential equation. This equation has nonsingular solutions only if n is a non-negative integer. Sometimes the name Laguerre polynomials is used for solutions of

x y ″ + ( α + 1 − x ) y ′ + n y = 0 . {\displaystyle xy''+(\alpha +1-x)y'+ny=0~.}

where n is still a non-negative integer. Then they are also named generalized Laguerre polynomials, as will be done here (alternatively associated Laguerre polynomials or, rarely, Sonine polynomials, after their inventor Nikolay Yakovlevich Sonin). More generally, a Laguerre function is a solution when n is not necessarily a non-negative integer. The Laguerre polynomials are also used for Gauss–Laguerre quadrature to numerically compute integrals of the form

∫ 0 ∞ f ( x ) e − x d x . {\displaystyle \int _{0}^{\infty }f(x)e^{-x}\,dx.}

These polynomials, usually denoted L0, L1, ..., are a polynomial sequence which may be defined by the Rodrigues formula,

L n ( x ) = e x n ! d n d x n ( e − x x n ) = 1 n ! ( d d x − 1 ) n x n , {\displaystyle L_{n}(x)={\frac {e^{x}}{n!}}{\frac {d^{n}}{dx^{n}}}\left(e^{-x}x^{n}\right)={\frac {1}{n!}}\left({\frac {d}{dx}}-1\right)^{n}x^{n},}

reducing to the closed form of a following section. They are orthogonal polynomials with respect to an inner product

⟨ f , g ⟩ = ∫ 0 ∞ f ( x ) g ( x ) e − x d x . {\displaystyle \langle f,g\rangle =\int _{0}^{\infty }f(x)g(x)e^{-x}\,dx.}

The rook polynomials in combinatorics are more or less the same as Laguerre polynomials, up to elementary changes of variables. Further see the Tricomi–Carlitz polynomials. The Laguerre polynomials arise in quantum mechanics, in the radial part of the solution of the Schrödinger equation for a one-electron atom. They also describe the static Wigner functions of oscillator systems in quantum mechanics in phase space. They further enter in the quantum mechanics of the Morse potential and of the 3D isotropic harmonic oscillator. Physicists sometimes use a definition for the Laguerre polynomials that is larger by a factor of n! than the definition used here. (Likewise, some physicists may use somewhat different definitions of the so-called associated Laguerre polynomials.)

Recursive definition, closed form, and generating function One can also define the Laguerre polynomials recursively, defining the first two polynomials as

L 0 ( x ) = 1 {\displaystyle L_{0}(x)=1}

L 1 ( x ) = 1 − x {\displaystyle L_{1}(x)=1-x}

and then using the following recurrence relation for any k ≥ 1:

L k + 1 ( x ) = ( 2 k + 1 − x ) L k ( x ) − k L k − 1 ( x ) k + 1 . {\displaystyle L_{k+1}(x)={\frac {(2k+1-x)L_{k}(x)-kL_{k-1}(x)}{k+1}}.}

Furthermore,

… excerpt ends here. Continue reading the full article.

Illustrations

Laguerre polynomials: Complex color plot of L−1/9(z4) from −2−2i to 2+2i
Complex color plot of L−1/9(z4) from −2−2i to 2+2i
Laguerre polynomials: The first six Laguerre polynomials.
The first six Laguerre polynomials.
Laguerre polynomials: The first few generalized Laguerre polynomials, Ln(k)(x)
The first few generalized Laguerre polynomials, Ln(k)(x)

Worked examples

Example 1 — a first encounter with Laguerre polynomials

Start with the simplest possible case. Write down what Laguerre polynomials claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Laguerre polynomials before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Laguerre polynomials ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Laguerre polynomials

In research
Laguerre polynomials appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Laguerre polynomials in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Laguerre polynomials is common in secondary-school and first-year university syllabi. It links to neighbouring topics Orthogonal polynomials, Polynomials, Special hypergeometric functions, so understanding it makes those chapters shorter.
In everyday life
Look for Laguerre polynomials outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Laguerre polynomials in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Laguerre polynomials means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Laguerre polynomials out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Laguerre polynomials in simple terms?

In mathematics, the Laguerre polynomials, named after Edmond Laguerre (1834–1886), are nontrivial solutions of Laguerre's differential equation: x y ″ + ( 1 − x ) y ′ + n y = 0 , y = L ( x ) {\displaystyle xy''+(1-x)y'+ny=0,\ y=L(x)} which is a second-order linear differential equation. This equati…

Why does Laguerre polynomials matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Laguerre polynomials?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Laguerre polynomials.

Tags

  • Orthogonal polynomials
  • Polynomials
  • Special hypergeometric functions

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